name as key and the value the field name.
   */
  static _getCSVColumnToFieldMap() {
    let csvColumnToField = new Map();
    for (let [field, columns] of Object.entries(FIELD_TO_CSV_COLUMNS)) {
      for (let column of columns) {
        csvColumnToField.set(column.toLowerCase(), field);
      }
    }
    return csvColumnToField;
  }

  /**
   * Builds a vanilla JS object containing all the login fields from a row of CSV cells.
   *
   * @param {object} csvObject
   *        An object created from a csv row. The keys are the csv column names, the values are the cells.
   * @param {Map} csvColumnToFieldMap
   *        A map where the keys are the csv properties and the values are the object keys.
   * @returns {object} Representing login object with only properties, not functions.
   */
  static _getVanillaLoginFromCSVObject(csvObject, csvColumnToFieldMap) {
    let vanillaLogin = Object.create(null);
    for (let columnName of Object.keys(csvObject)) {
      let fieldName = csvColumnToFieldMap.get(columnName.toLowerCase());
      if (!fieldName) {
        continue;
      }

      if (
        typeof vanillaLogin[fieldName] != "undefined" &&
        vanillaLogin[fieldName] !== csvObject[columnName]
      ) {
        // Differing column values map to one property.
        // e.g. if two headings map to `origin` we won't know which to use.
        return {};
      }

      vanillaLogin[fieldName] = csvObject[columnName];
    }

    // Since `null` can't be represented in a CSV file and the httpRealm header
    // cannot be an empty string, assume that an empty httpRealm means this is
    // a form login and therefore null-out httpRealm.
    if (vanillaLogin.httpRealm === "") {
      vanillaLogin.httpRealm = null;
    }

    return vanillaLogin;
  }
  /**
   * Imports logins from a CSV file (comma-separated values file).
   * Existing logins may be updated in the process.
   *
   * @param {string} filePath
   * @returns {object[]} An array of rows where each is mapped to a row in the CSV and it's import information.
   */
  static async importFromCSV(filePath) {
    let csvColumnToFieldMap = LoginCSVImport._getCSVColumnToFieldMap();
    let csvFieldToColumnMap = new Map();

    let csvString;
    try {
      csvString = await IOUtils.readUTF8(filePath, { encoding: "utf-8" });
    } catch (ex) {
      console.error(ex);
      throw new ImportFailedException(
        ImportFailedErrorType.FILE_PERMISSIONS_ERROR
      );
    }
    let headerLine;
    let parsedLines;
    try {
      let delimiter = filePath.toUpperCase().endsWith(".CSV") ? "," : "\t";
      [headerLine, parsedLines] = lazy.CSV.parse(csvString, delimiter);
    } catch {
      throw new ImportFailedException(ImportFailedErrorType.FILE_FORMAT_ERROR);
    }
    if (parsedLines && headerLine) {
      for (const columnName of headerLine) {
        const fieldName = csvColumnToFieldMap.get(
          columnName.toLocaleLowerCase()
        );
        if (fieldName) {
          if (!csvFieldToColumnMap.has(fieldName)) {
            csvFieldToColumnMap.set(fieldName, columnName);
          } else {
            throw new ImportFailedException(
              ImportFailedErrorType.CONFLICTING_VALUES_ERROR
            );
          }
        }
      }
    }
    if (csvFieldToColumnMap.size === 0) {
      throw new ImportFailedException(ImportFailedErrorType.FILE_FORMAT_ERROR);
    }
    if (
      parsedLines[0] &&
      (!csvFieldToColumnMap.has("origin") ||
        !csvFieldToColumnMap.has("username") ||
        !csvFieldToColumnMap.has("password"))
    ) {
      // The username *value* can be empty but we require a username column to
      // ensure that we don't import logins without their usernames due to the
      // username column not being recognized.
      throw new ImportFailedException(ImportFailedErrorType.FILE_FORMAT_ERROR);
    }

    let loginsToImport = parsedLines.map(csvObject => {
      return LoginCSVImport._getVanillaLoginFromCSVObject(
        csvObject,
        csvColumnToFieldMap
      );
    });

    let report = await lazy.LoginHelper.maybeImportLogins(loginsToImport);

    for (const reportRow of report) {
      if (reportRow.result === "error_missing_field") {
        reportRow.field_name = csvFieldToColumnMap.get(reportRow.field_name);
      }
    }

    // Record quantity and duration telemetry.
    try {
      for (let reportRow of report) {
        let { result } = reportRow;
        Glean.pwmgr.importLoginsFromFileCategorical[
          result.includes("error") ? "error" : result
        ].add(1);
      }
    } catch (ex) {
      console.error(ex);
    }
    LoginCSVImport.lastImportReport = report;
    return report;
  }
}
PK